Comments (1)
Thanks!
Right now there's no way to exclude terms during corpus construction. However, after the corpus is constructed, you can easily remove outlying terms. For example:
# Remove bigrams from corpus.
corpus = corpus.get_unigram_corpus()
# Create a pandas Series indexed on words containing their frequencies
term_frequencies = corpus.get_term_freq_df().sum(axis=1)
# Get the terms in the 99th and 1st percentiles
terms_99th_pctl = term_frequencies[term_frequencies >= np.percentile(term_frequencies, 99)].index
terms_1st_pctl = term_frequencies[term_frequencies <= np.percentile(term_frequencies, 1)].index
# Remove them from the corpus
reduced_corpus = corpus.remove_terms(terms_99th_pctl | terms_1st_pctl)
Hope this helps!
from scattertext-pydata.
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